Triple

T22878220
Position Surface form Disambiguated ID Type / Status
Subject Old Town Bridge and Bakklandet view E567385 entity
Predicate near P350 FINISHED
Object Bakklandet old town area NE NERFINISHED

How this triple was built (3 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Bakklandet old town area | Statement: [Old Town Bridge and Bakklandet view, near, Bakklandet old town area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bakklandet old town area
Context triple: [Old Town Bridge and Bakklandet view, near, Bakklandet old town area]
  • A. Bergen village center
    Bergen village center is the main commercial and civic hub of the Town of Bergen in Genesee County, New York, featuring local businesses, services, and community activities.
  • B. Gamle Oslo district
    Gamle Oslo district is a central borough of Norway’s capital city known for its historic neighborhoods, diverse population, and rapidly developing waterfront areas.
  • C. Kongsberg town centre
    Kongsberg town centre is the central urban area of Kongsberg, Norway, known for its historic silver mining heritage and role as the city’s commercial and cultural hub.
  • D. Old Stavanger (Gamle Stavanger)
    Old Stavanger (Gamle Stavanger) is a historic district in Stavanger, Norway, known for its well-preserved wooden houses from the 18th and 19th centuries and charming cobblestone streets.
  • E. St. Hanshaugen district
    St. Hanshaugen district is a central borough of Oslo, Norway, known for its large public park, historic architecture, and vibrant urban neighborhoods.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bakklandet old town area
Target entity description: Bakklandet old town area is a historic riverside neighborhood in Trondheim, Norway, known for its preserved wooden houses, cobbled streets, and vibrant cafés and shops.
  • A. Bergen village center
    Bergen village center is the main commercial and civic hub of the Town of Bergen in Genesee County, New York, featuring local businesses, services, and community activities.
  • B. Gamle Oslo district
    Gamle Oslo district is a central borough of Norway’s capital city known for its historic neighborhoods, diverse population, and rapidly developing waterfront areas.
  • C. Kongsberg town centre
    Kongsberg town centre is the central urban area of Kongsberg, Norway, known for its historic silver mining heritage and role as the city’s commercial and cultural hub.
  • D. Old Stavanger (Gamle Stavanger)
    Old Stavanger (Gamle Stavanger) is a historic district in Stavanger, Norway, known for its well-preserved wooden houses from the 18th and 19th centuries and charming cobblestone streets.
  • E. St. Hanshaugen district
    St. Hanshaugen district is a central borough of Oslo, Norway, known for its large public park, historic architecture, and vibrant urban neighborhoods.
  • F. None of above. chosen

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e24589d8348190b96422d13a678bc1 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17f5a26f4819086ede6d85a2ab2bf completed April 29, 2026, 3:47 a.m.
Created at: April 17, 2026, 3:39 p.m.